Design and Development Effective Learning AI Education: Navigating Deskilling in the Age of Intelligent Automation

The rapid integration of artificial intelligence (AI) into education and professional practice has brought about transformative opportunities and pressing ethical challenges. This chapter examines the principles, guidelines, and responsibilities that students must understand and follow when interacting with AI technologies. This chapter examines key topics, including academic integrity, data privacy, algorithmic bias, intellectual property, and the responsible use of generative AI tools such as ChatGPT and GitHub Copilot. Through real-world case studies, theoretical frameworks, and practical scenarios, the chapter fosters critical thinking and ethical reasoning among computer science students. It also provides educators with strategies for promoting ethical awareness and decision-making in AI-assisted learning environments. By grounding technical education in strong ethical foundations, this chapter aims to prepare future programmers and engineers to contribute to a trustworthy and socially responsible AI landscape.